Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China

The three-stage super-efficiency slack-based measure and data envelopment analysis (SBM-DEA) model with undesirable outputs is used to calculate carbon emissions efficiency of industrial energy (CEEIE) of 30 provinces in China from 2000 to 2017. Then ArcGIS software is used to illustrate the spatial...

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Autores principales: Liu, Fang, Tang, Lu, Liao, Kaicheng, Ruan, Lijuan, Liu, Pingsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484484/
https://www.ncbi.nlm.nih.gov/pubmed/34593841
http://dx.doi.org/10.1038/s41598-021-98225-z
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author Liu, Fang
Tang, Lu
Liao, Kaicheng
Ruan, Lijuan
Liu, Pingsheng
author_facet Liu, Fang
Tang, Lu
Liao, Kaicheng
Ruan, Lijuan
Liu, Pingsheng
author_sort Liu, Fang
collection PubMed
description The three-stage super-efficiency slack-based measure and data envelopment analysis (SBM-DEA) model with undesirable outputs is used to calculate carbon emissions efficiency of industrial energy (CEEIE) of 30 provinces in China from 2000 to 2017. Then ArcGIS software is used to illustrate the spatial distribution of CEEIE, and Dagum Gini ratio is calculated to decompose the regional difference. The results show that the spatial distribution of CEEIE changes from disorder to order and provinces characterized with high or low CEEIE cluster in space over time. The total Dagum Gini coefficient indicates that the interprovincial difference in CEEIE across China is gradually expanding, which is mainly induced by the difference between regions. Our findings attach more importance to interregional integration policies for carbon emissions reduction in China.
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spelling pubmed-84844842021-10-04 Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China Liu, Fang Tang, Lu Liao, Kaicheng Ruan, Lijuan Liu, Pingsheng Sci Rep Article The three-stage super-efficiency slack-based measure and data envelopment analysis (SBM-DEA) model with undesirable outputs is used to calculate carbon emissions efficiency of industrial energy (CEEIE) of 30 provinces in China from 2000 to 2017. Then ArcGIS software is used to illustrate the spatial distribution of CEEIE, and Dagum Gini ratio is calculated to decompose the regional difference. The results show that the spatial distribution of CEEIE changes from disorder to order and provinces characterized with high or low CEEIE cluster in space over time. The total Dagum Gini coefficient indicates that the interprovincial difference in CEEIE across China is gradually expanding, which is mainly induced by the difference between regions. Our findings attach more importance to interregional integration policies for carbon emissions reduction in China. Nature Publishing Group UK 2021-09-30 /pmc/articles/PMC8484484/ /pubmed/34593841 http://dx.doi.org/10.1038/s41598-021-98225-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liu, Fang
Tang, Lu
Liao, Kaicheng
Ruan, Lijuan
Liu, Pingsheng
Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_full Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_fullStr Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_full_unstemmed Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_short Spatial distribution and regional difference of carbon emissions efficiency of industrial energy in China
title_sort spatial distribution and regional difference of carbon emissions efficiency of industrial energy in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484484/
https://www.ncbi.nlm.nih.gov/pubmed/34593841
http://dx.doi.org/10.1038/s41598-021-98225-z
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AT ruanlijuan spatialdistributionandregionaldifferenceofcarbonemissionsefficiencyofindustrialenergyinchina
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